Ma, Xingjun

Symmetric Cross Entropy for Robust Learning With Noisy Labels

Wang, Y., Ma, X., Chen, Z., Luo, Y., Yi, J., & Bailey, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,046

Understanding adversarial attacks on deep learning based medical image analysis systems

Ma, X., Niu, Y., Gu, L., Wang, Y., Zhao, Y., Bailey, J., & Lu, F. (2021) · Pattern Recognition

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 553

Privacy and Robustness in Federated Learning: Attacks and Defenses

Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 548

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Liu, Y., Ma, X., Bailey, J., & Lu, F. (2020) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 531

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Zi, B., Chang, M., Chen, J., Ma, X., & Jiang, Y.-G. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionFace recognition and analysis

Cited by 448

Towards Fair and Privacy-Preserving Federated Deep Models

Lyu, L., Yu, J., Nandakumar, K., Li, Y., Ma, X., Jin, J., Yu, H., & Ng, K. S. (2020) · IEEE Transactions on Parallel and Distributed Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 250